Item details
Item ID
KK3-0060
Title Marai masum myit hkrum yang panglai nawng htawk dang | The three people working together can empty a lake
Description Wunpawng maumwi "Marai masum myit hkrum yang panglai nawng htawk dang"
Taung zo: mhomyid: (3 yaug’ myid’ qhain; re panglai qid’ tham qo” khau” thoug; ra”)
ကချင်ပုံပြင် "လူသုံးယောက် စည်းလုံးရင်အင်းကြီးကရေ ခပ်ထုတ်နိုင်တယ်"
Kachin folktale "Three people working together can empty a lake."
景颇族民间故事《三人若合力,大湖也腾空》
カチンの昔話「3人が力を合わせれば大きな湖さえ空にできる」

Sumla (Illustration): Naw Ra (CanaaN)
Nsen (Narrator): Sumlut Gun Mai
Sumla hkrung (Video): Sumlut Gun Mai
Jinghpaw subtitle: Sumlut Gun Mai
Lhaovo subtitle: Bamvo Zaung Nan May
Burmese subtitle: Lu Awng
English subtitle: Nhkum Htoi Awng
Chinese subtitle: Zhang Yuanzong
Japanese subtitle: Kurabe Keita

This story is reproduced based on:
H. Hkawn Raw (speaker), Keita Kurabe (depositor), 2017. Marai masum myit hkrum yang nawng htawk dang ai lam (Three people working together can empty a lake) with English translation. X-WAV/MPEG/XML. KK1-1233 at catalog.paradisec.org.au. https://dx.doi.org/10.4225/72/598b34f0b4fc0

This work was supported by:
JSPS KAKENHI Grant Number JP20K13024 and Linguistic Dynamics Science 3 (LingDy3), Research Institute for Languages and Cultures of Asia and Africa (ILCAA), Tokyo University of Foreign Studies
https://lingdy.aa-ken.jp/en/

YouTube
https://www.youtube.com/@kachinfolktales/videos

Facebook
https://www.facebook.com/KachinStories

#Kachin
#Myanmar
#folktale
Origination date 2022-05-20
Origination date free form
Archive link https://catalog.paradisec.org.au/repository/KK3/0060
URL
Collector
Keita Kurabe
Countries To view related information on a country, click its name
Language as given Jinghpaw
Subject language(s) To view related information on a language, click its name
Content language(s) To view related information on a language, click its name
Dialect Standard Jinghpaw
Region / village Northern Myanmar
Originating university Tokyo University of Foreign Studies
Operator
Data Categories primary text
Data Types MovingImage
Discourse type narrative
Roles Keita Kurabe : depositor
Gun Mai Sumlut : speaker
Naw Ra Shatum : illustrator
DOI 10.26278/6SMS-E705
Cite as Keita Kurabe (collector), Keita Kurabe (depositor), Gun Mai Sumlut (speaker), Naw Ra Shatum (illustrator), 2022. Marai masum myit hkrum yang panglai nawng htawk dang | The three people working together can empty a lake. EAF+XML/MPEG/MP4/MXF/VND.WAV. KK3-0060 at catalog.paradisec.org.au. https://dx.doi.org/10.26278/6SMS-E705
Content Files (5)
Filename Type File size Duration File access
KK3-0060-A.eaf application/eaf+xml 64.2 KB
KK3-0060-A.mp3 audio/mpeg 2.05 MB 00:02:13.990
KK3-0060-A.mp4 video/mp4 50.5 MB 00:02:15.68
KK3-0060-A.mxf application/mxf 2.18 GB
KK3-0060-A.wav audio/vnd.wav 73.8 MB 00:02:13.973
5 files -- 2.3 GB -- --

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Collection Information
Collection ID KK3
Collection title Animated videos of Kachin folktales
Description These materials were produced by Keita Kurabe and members of the Kachin community as part of a community-based collaborative documentation and revitalization project in northern Myanmar. Narration was contributed by Sumlut Gun Mai, Sumdu Ja Seng Roi, Gumtung Lu Awng, and Jumhpawk Nyein Chan Thu. Illustrations were contributed by Kahtantu Htoi Awng, Shatum Naw Ra, Sumlut Mun San Pan, and Ikumi Wakana. This work was supported by JSPS KAKENHI Grant Number JP20K13024, "Linguistic Dynamics Science 3" (LingDy3), and "Description and Documentation of Language Dynamics in Asia and Africa: Toward a More In-depth Understanding of the Languages and Cultures of People Living in Asia and Africa (DDDLing)" from the Research Institute for Languages and Cultures of Asia and Africa (ILCAA), Tokyo University of Foreign Studies (TUFS).
Countries To view related information on a country, click its name
Languages To view related information on a language, click its name
Access Information
Edit access Nick Ward
View/Download access
Data access conditions Open (subject to agreeing to PDSC access conditions)
Data access narrative
Metadata
RO-Crate Metadata
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